Reputation & Referral
Does Automated Review Request Actually Work?
Yes — consistently and measurably. Businesses that switch from manual or no review requesting to automated systems typically see 3–6x more reviews per month within 90 days. The mechanism is simple: more asks at better timing with less friction produces more reviews.
The data from businesses we work with: before automation, the median service business in our customer base had 18 Google reviews and was collecting 0–1 new reviews per month. After 90 days of automated review requesting (running at 15–20 completed jobs per month), the median was 8–12 new reviews per month.
Why the improvement is this large: most businesses weren't asking consistently at all. The comparison isn't automated vs. manual asking — it's automated vs. not asking. The businesses that were already asking manually (making it a policy, training staff to do it, following through) saw smaller improvements from automation — typically 2–3x rather than 5–10x.
The timing element matters significantly. A review request sent 72 hours post-completion converts at 20–30%. The same request sent 2 weeks later converts at 5–10%. Automation enables consistent timing at scale — every customer gets asked at 72 hours, not whenever someone remembers.
Common questions
Text message review requests have very low spam rates when sent from a business number customers recognise and with content that references the specific recent service. Email review requests have higher spam rates — the framing and subject line matter significantly. Most businesses use text as the primary channel specifically because of higher deliverability.
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